Towards Visualisation Specifications from Multilingual Natural Language Queries using Large Language Models
Hutchinson, M., Slingsby, A. 
ORCID: 0000-0003-3941-553X, Jianu, R. ORCID: 0000-0002-5834-2658 & Madhyastha, P. ORCID: 0000-0002-4438-8161 (2023).
Towards Visualisation Specifications from Multilingual Natural Language Queries using Large Language Models.
In:
EuroVis 2023 - Posters.
Eurographics 2023, 8-12 May 2023, Saarbrücken, Germany.
doi: 10.2312/evp.20231072
Abstract
In this paper, we present an empirical demonstration of a prompt-based learning approach, which utilizes pre-trained Large Language Models to generate visualization specifications from user queries expressed in natural language. We showcase the approach's flexibility in generating valid specifications in languages other than English (e.g., Spanish) despite lacking access to any training samples. Our findings represent the first steps towards the development of multilingual interfaces for data visualization that transcend English-centric systems, making them more accessible to a wider range of users.
| Publication Type: | Conference or Workshop Item (Poster) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology |
| Departments: | School of Science & Technology > Computer Science > giCentre |
Available under License Creative Commons: Attribution International Public License 4.0.
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Available under License Creative Commons: Attribution International Public License 4.0.
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